MP4 | h264, 1280×720 | Lang: English | Audio: aac, 48000 Hz | 8h 45m | 3.09 GB
What you’ll learn
Random forest with sk-learn
Random forest from absolute scratch
Learn to use Matplotlib for Python Plotting
Use SciKit-Learn for Random Forest using titanic data set
Learn and implement concepts like structure of forest, impurity, information gain, Partitions, leaf nodes, decision nodes using python
Learn to create a complete structure for random forest from scratch using python
Learn how to build one tree that adds up to create a complete forest
Learn how to write an accuracy calculator function
Learn how to implement random forest on any data set
Requirements
No prior knowledge or experience needed. Only a passion to be successful!
Description
Are you ready to start your path to becoming a Machine Learning expert!
Are you ready to train your machine like a father trains his son!
A breakthrough in Machine Learning would be worth ten Microsofts.” -Bill Gates
There are lots of courses and lectures out there regarding random forest. This course is different!
After taking this course, the curtains of machine learning and especially random forest will be lifted for you. You’ll be learning a state-of-the-art algorithm in details with practical implementation.
This course is truly a step-by-step. In every new tutorial we build on what had already learned and move one extra step forward and then we assign you a small task that is solved in the beginning of next video.
We start by teaching the theoretical part of concept and then we implement everything as it is practically using python
This comprehensive course will be your guide to learning how to use the power of Python to train your machine such that your machine starts learning just like human and based on that learning, your machine starts making predictions as well!
We’ll be using python as programming language in this course which is the hottest language nowadays if we talk about machine leaning. Python will be taught from very basic level up to advanced level so that any machine learning concept can be implemented.
We’ll also learn various steps of data preprocessing which allows us to make data ready for machine learning algorithms.
We’ll learn all general concepts of machine learning overall which will be followed by the implementation of one of the most important ML algorithm “random forest”. Each and every concept of random forest will be taught theoretically and will be implemented practically using python.
Machine learning has been ranked one of the hottest jobs on Glassdoor and the average salary of a machine learning engineer is over $110,000 in the United States according to Indeed! Machine Learning is a rewarding career that allows you to solve some of the world’s most interesting problems!
This course is designed for both beginners with some programming experience or even those who know nothing about ML and random forest!
This comprehensive course is comparable to other Machine Learning courses that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 50 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for random forest and machine learning on Udemy!
We’ll teach you how to program with Python, how to use it for data preprocessing and random forest! Here a just a few of the topics we will be learning:
Programming with Python
NumPy with Python for array handling
Using pandas Data Frames to handle Excel Files
Use matplotlib for data visualizations
Data Preprocessing
Machine Learning concepts, including:
Training and testing sets
Model training
Model Validation
Random forest with sk-learn
Random forest from absolute scratch
Implementing random forest on titanic data set
and much, much more!
Enroll in the course and become an outstanding machine learning engineer today!
Who this course is for:
This course is for you if you want to learn how to program in Python for Machine Learning
This course is for you if you want to make a predictive analysis model
This course is for you if you are tired of Machine Learning courses that are too complicated and expensive
This course is for you if you want to learn Python and machine learning by doing
This course is for someone who is absolute beginner and have very little or even zero idea of machine learning
This course is for someone who want to learn random forest from zero to hero
Who this course is for:
This course is for you if you want to learn how to program in Python for Machine Learning
This course is for you if you want to make a predictive analysis model
This course is for you if you are tired of Machine Learning courses that are too complicated and expensive
This course is for you if you want to learn Python and machine learning by doing
This course is for someone who is absolute beginner and have very little or even zero idea of machine learning
This course is for someone who want to learn random forest from zero to hero
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